Genetic Analysis and Selection Criteria in Bambara Groundnut Accessions Based Yield Performance

نویسندگان

چکیده

The knowledge of genetic variability and breeding techniques is crucial in crop improvement programs. This information especially important underutilized crops such as Bambara groundnut, which have limited systems diversity information. Hence, this study evaluated the established relationship between yield its components groundnut based on seed weight using multivariate analysis. A field trial was conducted a randomized complete block design with three replications 28 lines. Data were collected 12 agro-morphological traits, statistical analysis SAS version 9.4 software, while variance component, genotypic phenotypic coefficient variation, heritability, advance values estimated. cluster performed NT-SYS software to estimate relations among accessions. results showed significant accessions component characteristics. lines grouped into seven primary clusters assessed traits UPGMA dendrogram. Based overall results, G5LR1P3, G1LR1P3, G4LR1P1, G2SR1P1 G3SR1P4 best for components. These improved are recommended large-scale evaluation utilization future programs develop high-yield varieties.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Cross-Species Gene Expression Marker-Based Genetic Map and QTL Analysis in Bambara Groundnut

Bambara groundnut (Vigna subterranea (L.) Verdc.) is an underutilised legume crop, which has long been recognised as a protein-rich and drought-tolerant crop, used extensively in Sub-Saharan Africa. The aim of the study was to identify quantitative trait loci (QTL) involved in agronomic and drought-related traits using an expression marker-based genetic map based on major crop resources develop...

متن کامل

Seasonal Variation and Pearson Correlation in Yield and Yield Components in Bambara Groundnut

Twelve cultivars of bambara groundnut were sown for evaluation of variability and genetic correlation among agronomic characters and seed yield in 2004 and 2005 in a randomized complete block design with three replications. Combined analysis of variance revealed highly significant effects (p<0.05) for genotypes (G), year (Y) and G x Y interaction for most characters evaluated. Estimates of geno...

متن کامل

Construction of a genetic linkage map and QTL analysis in bambara groundnut.

Bambara groundnut (Vigna subterranea (L.) Verdc.) is an indigenous underutilized legume that has the potential to improve food security in semi-arid Africa. So far, there are a lack of reports of controlled breeding populations that could be used for variety development and genetic studies. We report here the construction of the first genetic linkage map of bambara groundnut using a F3 populati...

متن کامل

Identification of Gene Modules Associated with Low Temperatures Response in Bambara Groundnut by Network-Based Analysis

Bambara groundnut (Vigna subterranea (L.) Verdc.) is an African legume and is a promising underutilized crop with good seed nutritional values. Low temperature stress in a number of African countries at night, such as Botswana, can effect the growth and development of bambara groundnut, leading to losses in potential crop yield. Therefore, in this study we developed a computational pipeline to ...

متن کامل

Genetic diversity in Bambara groundnut (Vigna subterranea L.) germplasm revealed by RAPD markers.

Random amplified polymorphic DNA (RAPD) markers were used to assess genetic diversity in Bambara groundnut (Vigna subterranea L.) germplasm using 25 African accessions from the collection in the International Institute for Tropical Agriculture, Ibadan, Nigeria. Fifty random decamer primers were screened to assess their ability to detect polymorphism in bambara; 17 of them were selected for this...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Agronomy

سال: 2021

ISSN: ['2156-3276', '0065-4663']

DOI: https://doi.org/10.3390/agronomy11081634